Line source emission modelling

Nagendra, S.M. Shiva; Khare, Mukesh

doi:10.1016/s1352-2310(02)00177-2

Cited by 60 publications

(31 citation statements)

References 98 publications

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“…MG and VG are measures of dispersion which finds application when values in a set follow a log normal distribution. A perfect model will have both MG and VG equal to 1.0 [8].However, a model will be deemed acceptable if: NRMSE≤0.5; -0.5≤FB≤0.5; 0.75≤MG≤1.25; 1≤VG≤1.25 [9]. Table 2 presents the summary of AERMOD and ADMS models performance at the Chennai and Newcastle study sites.…”

Section: Resultsmentioning

confidence: 99%

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Application of ADMS and AERMOD models to study the dispersion of vehicular pollutants in urban areas of India and the United Kingdom

Nagendra

Khare

Gulia

et al. 2012

WIT Transactions on Ecology and the Environment

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Urban air pollution poses a significant threat to human health, the environment and the quality of life of people throughout the world. In the United Kingdom 103 areas have been declared as local air quality management areas (LAQMA). While in India, 72 cities have been identified as cities having poor air quality/non-attainment area, i.e., the air quality in these cities are exceeding prescribed National Ambient Air Quality Standards (NAAQS). The transport sector is the principal source of local air pollution in urban areas, because of the increased vehicular population, vehicle kilometres travelled (VKT) and lack of infrastructure development.Many mathematical models have been widely used as tools in local air quality management in developed countries. Among them, ADMS [1] and AERMOD [2] models have been widely used for urban air quality management in Europe and the US, respectively. However, their applications are limited in developing countries like India due to the lack of readily available input data, time and the cost involved in collecting the required model input data. In this paper the performance evaluation of ADMS and AERMOD in predicting particulate matter (PM) concentrations at road sides in Chennai, India and Newcastle, UK is discussed. The statistical parameters such as Index of Agreement (IA), Fractional Bias (FB), Normalized Mean Square Error (NMSE), Geometric Mean Bias (MG) and Geometric Mean Variance (VG) have been used to evaluate the ADMS and AERMOD model performance. Results indicated that both the models are able to predict the pollutant concentrations with reasonable accuracy. The IA values for ADMS and AERMOD are found to be 0.39 and 0.37 and 0.48 and 0.44, respectively, for the Chennai and Newcastle study sites.

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Section: Resultsmentioning

confidence: 99%

“…Air quality models plays important role in urban air quality management [9]. Modeling provides the ability to assess the current and future air quality in order to enable (informed) policy decisions to be made.…”

Section: Introductionmentioning

confidence: 99%

Application of ADMS and AERMOD models to study the dispersion of vehicular pollutants in urban areas of India and the United Kingdom

Nagendra

Khare

Gulia

et al. 2012

WIT Transactions on Ecology and the Environment

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“…The air quality prediction and forecasting by air quality models plays an important role in formulating air pollution control and management strategies on 'What If' scenarios [8]. Air quality modelling provides the ability to assess the current and future air quality in order to enable (informed) policy decisions to be made [9]. The planning and implementation of urban air quality management practices in developing countries is a challenging task for policy makers.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Gulia¹,

Nagendra²,

Khare³

2014

Int. J. SDP

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Urban air quality has deteriorated in last few decades in the mega cities of both developed and developing countries. Many mathematical models have been widely used as prediction tool for urban air quality management in developed countries. However, applications of these models are limited in developing countries including India due to lack of suffi cient validation studies. In this paper, three state-of-the-art air quality models namely AERMOD, ADMS-Urban and ISCST3 have been used to predict the air quality at an intersection in Delhi city, India, followed by their performance evaluation and sensitive analysis under different meteorological conditions. The models have been run for different climatic conditions, i.e. summer and winter season to predict the concentration of carbon monoxide (CO), nitrogen dioxide (NO 2 ) and PM 2.5 (diameter size less than 2.5 µm). The The causal nature of these Gaussian based models may be one of the reasons for difference in performance of the models, because these are sensitive to quality and quantity of input data on meteorology and emission sources.

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“…They are extensively used throughout the world including India to carry out the prediction of vehicular pollutant concentrations along highway road in both urban as well rural areas. Various line source dispersion models are used to predict the pollutants concentration [5]. These are HIGHWAY model [6] which further evaluated in to HIGHWAY-2 [7], General Motor, GM [8], CALINE series model which was further evaluated in to CALINE 3 [9] followed by CALINE 4 [10], latest in CALINE series.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of air quality dispersion models at urban intersection of an Indian city: a case study of Delhi city

Khare¹,

Nagendra²,

Gulia³

2012

Air Pollution XX

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Air quality modelling plays an important role in formulating air pollution control and management strategies by providing guidelines for better and more efficient air quality planning. Several air quality dispersion models are used to evaluate the urban air quality. The performance and efficiency of an air quality model are mainly depends upon the accurately interpretations of the complex interactions between various atmospheric, emission and topographic parameters involved in the air pollution problem. In this paper, four state-of art air quality models like AERMOD, ADMS-Urban, ISCST3 and CALINE4 and two codes i.e. GFLSM and DFLSM (based on Gaussian principle) have been used to predict the air quality of an urban intersection of Delhi city, India, followed by their performance evaluation. These models are applied to predict the concentration of Carbon monoxide (CO), Nitrogen dioxide (NO 2 ) and PM 2.5 (size less than 2.5 micron) which are one of the major components of vehicular exhaust emissions. The performance of all models/codes have been evaluated using standard statistical descriptor like Index of Agreement

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Line source emission modelling

Cited by 60 publications

References 98 publications

Application of ADMS and AERMOD models to study the dispersion of vehicular pollutants in urban areas of India and the United Kingdom

Application of ADMS and AERMOD models to study the dispersion of vehicular pollutants in urban areas of India and the United Kingdom

Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Performance evaluation of air quality dispersion models at urban intersection of an Indian city: a case study of Delhi city

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